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A publicly available virtual cohort of four-chamber heart meshes for cardiac electro-mechanics simulations
Open accessAbstract
Computational models of the heart are increasingly being used in the development of devices, patient diagnosis and therapy guidance. While software techniques have been developed for simulating single hearts, there remain significant challenges in simulating cohorts of virtual hearts from multiple patients. To facilitate the development of new simulation and model analysis techniques by groups without direct access to medical data, image analysis techniques and meshing tools, we have created the first publicly available virtual cohort of twenty-four four-chamber hearts. Our cohort was built from heart failure patients, age 67±14 years. We segmented four-chamber heart geometries from end-diastolic (ED) CT images and generated linear tetrahedral meshes with an average edge length of 1.1±0.2mm. Ventricular fibres were added in the ventricles with a rule-based method with an orientation of -60° and 80° at the epicardium and endocardium, respectively. We additionally refined the meshes to an average edge length of 0.39±0.10mm to show that all given meshes can be resampled to achieve an arbitrary desired resolution. We ran simulations for ventricular electrical activation and free mechanical contraction on all 1.1mm-resolution meshes to ensure that our meshes are suitable for electro-mechanical simulations. Simulations for electrical activation resulted in a total activation time of 149±16ms. Free mechanical contractions gave an average left ventricular (LV) and right ventricular (RV) ejection fraction (EF) of 35±1% and 30±2%, respectively, and a LV and RV stroke volume (SV) of 95±28mL and 65±11mL, respectively. By making the cohort publicly available, we hope to facilitate large cohort computational studies and to promote the development of cardiac computational electro-mechanics for clinical applications.
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![Fig 1 Pipeline. CT images were acquired in 10 or 20 frames over a whole cardiac cycle. The end-diastolic (ED) geometry was then selected and automatically segmented [31]. The resulting segmentation was post-processed to generate labels representing the RV, LA and RA myocardium, the wall thickness for the aorta and the pulmonary artery, valve planes and rings at the cropped veins. The surface of the segmentation was then smoothed [37] and all the labels but the blood pools and the LV papillary muscles were extracted to generate a tetrahedral mesh. We extracted the endocardial and epicardial surfaces of the atria and ventricles and we assigned fibre orientation to the ventricles with a rule-based method [38]. Finally, we simulated electrical activation and mechanical contraction of the ventricles to test the usability of the meshes.](/paper-figures/77a9db8fe579472e96c531604d22044d/a-publicly-available-virtual-cohort-of-four-chamber-heart-meshes-for-cardiac-figure-1.jpg)







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“For example, imaging data from 24 subjects was used in [40] to develop 24 four-chamber heart models.”
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“Each of the 24 anatomical models represent a specific patient, although tissue material properties were defined from the literature.”
From Credibility assessment of in silico clinical trials for medical devices (2024) · cites this paper as [40]
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Metadata
- Authors
- Strocchi, M., Augustin, C. M., Gsell, M. A. F., Karabelas, E., Neic, A., Gillette, K., Razeghi, O., Prassl, A. J., Vigmond, E. J., Behar, J. M., Gould, J., Sidhu, B., Rinaldi, C. A., Bishop, M. J., Plank, G., & Niederer, S. A.
- Affiliations
- King's College London (GB)
- Medical University of Graz (AT)
- Université de Bordeaux (FR)
- Corresponding author
- Strocchi, Marina
- ORCID
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2020-06-26
- Volume
- 15
- Issue
- 6
- Pages
- e0235145
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC7319311
- OpenAlex
- W3037817333
- Cited by
- 112
- References
- 111
- Citations by year
- 2026: 13 · 2025: 17 · 2024: 18 · 2023: 24 · 2022: 21 · 2021: 15 · 2020: 3
- FWCI
- 9.75
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Portal (King's College London) (publishedVersion, other-oa)
- HAL (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Oskar-Bordeaux (Universite de Bordeaux) (submittedVersion)
- Unipub UB Graz (Universität Graz) (submittedVersion, cc-by)
- Funders
- Engineering and Physical Sciences Research Council (EP/M012492/1, NS/A000049/1, EP/L015226/1 and EP/P01268X/1)
- British Heart Foundation (PG/15/91/31812 and PG/13/37/30280)
- Kings Health Partners London National Institute for Health Research (NIHR) Biomedical Research Centre
- H2020 Marie Skłodowska-Curie Actions (750835)
- Austrian Science Fund (PI2760-B30)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac electrophysiology and arrhythmias
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Arrhythmias and Treatments
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac pacing and defibrillation studies
- Keywords
- cardiac electromechanics, heart failure, tetrahedral meshes, ejection fraction, stroke volume
- MeSH terms
- Adult, Aged, Aged, 80 and over, Computer Simulation, Female, Heart Failure, Heart Ventricles, Humans, Male, Middle Aged, Surgical Mesh, Cohort Studies, Ventricular Function, Left, Ventricular Function, Right
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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